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TruthfulQA

Papers

Showing 125 of 80 papers

TitleStatusHype
RLHF Workflow: From Reward Modeling to Online RLHFCode5
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceCode2
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination MitigationCode2
Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelCode2
Tuning Language Models by ProxyCode2
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsCode2
Instruction Tuning With Loss Over InstructionsCode1
Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and EthicsCode1
Non-Linear Inference Time Intervention: Improving LLM TruthfulnessCode1
Integrative Decoding: Improve Factuality via Implicit Self-consistencyCode1
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without TuningCode1
TruthfulQA: Measuring How Models Mimic Human FalsehoodsCode1
Alleviating Hallucinations of Large Language Models through Induced HallucinationsCode1
RAIN: Your Language Models Can Align Themselves without FinetuningCode1
Tool-Augmented Reward ModelingCode1
Machine Unlearning in Large Language ModelsCode1
Red-Teaming Large Language Models using Chain of Utterances for Safety-AlignmentCode1
DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning AbilityCode0
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided DecodingCode0
Steering Without Side Effects: Improving Post-Deployment Control of Language ModelsCode0
SaGE: Evaluating Moral Consistency in Large Language ModelsCode0
A test suite of prompt injection attacks for LLM-based machine translationCode0
metabench -- A Sparse Benchmark to Measure General Ability in Large Language ModelsCode0
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language ModelsCode0
CHAIR -- Classifier of Hallucination as ImproverCode0
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